{"id":950230,"date":"2024-12-27T00:29:13","date_gmt":"2024-12-26T16:29:13","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/950230.html"},"modified":"2024-12-27T00:29:15","modified_gmt":"2024-12-26T16:29:15","slug":"python-%e5%a6%82%e4%bd%95%e6%8b%bc%e6%8e%a5%e6%95%b0%e7%bb%84","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/950230.html","title":{"rendered":"python \u5982\u4f55\u62fc\u63a5\u6570\u7ec4"},"content":{"rendered":"

\"python<\/p>\n

\u5728Python\u4e2d\uff0c\u62fc\u63a5\u6570\u7ec4\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u4f60\u6240\u4f7f\u7528\u7684\u6570\u636e\u7ed3\u6784\u548c\u62fc\u63a5\u9700\u6c42\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528+<\/code>\u64cd\u4f5c\u7b26\u3001append()<\/code>\u65b9\u6cd5\u3001extend()<\/code>\u65b9\u6cd5\u3001numpy<\/code>\u5e93\u7684concatenate()<\/code>\u51fd\u6570<\/strong>\u3002\u5176\u4e2d\uff0c+<\/code>\u64cd\u4f5c\u7b26\u53ef\u4ee5\u76f4\u63a5\u7528\u4e8e\u62fc\u63a5\u5217\u8868\uff0c\u9002\u5408\u7b80\u5355\u7684\u62fc\u63a5\u9700\u6c42\uff1bappend()<\/code>\u548cextend()<\/code>\u65b9\u6cd5\u662f\u5217\u8868\u5bf9\u8c61\u7684\u65b9\u6cd5\uff0c\u9002\u5408\u5728\u539f\u5217\u8868\u4e0a\u8fdb\u884c\u64cd\u4f5c\uff1bnumpy<\/code>\u5e93\u7684concatenate()<\/code>\u51fd\u6570\u5219\u9002\u5408\u8fdb\u884c\u591a\u7ef4\u6570\u7ec4\u7684\u62fc\u63a5\u3002\u4e0b\u9762\u8be6\u7ec6\u8bb2\u89e3numpy<\/code>\u5e93\u7684concatenate()<\/code>\u51fd\u6570\u7684\u4f7f\u7528<\/strong>\u3002<\/p>\n<\/p>\n

numpy.concatenate()<\/code>\u662f\u4e00\u4e2a\u5f3a\u5927\u4e14\u7075\u6d3b\u7684\u51fd\u6570\uff0c\u7528\u4e8e\u6cbf\u6307\u5b9a\u8f74\u5c06\u591a\u4e2a\u6570\u7ec4\u8fde\u63a5\u5728\u4e00\u8d77\u3002\u9996\u5148\u9700\u8981\u786e\u4fdd\u6240\u6709\u6570\u7ec4\u7684\u5f62\u72b6\u662f\u517c\u5bb9\u7684\uff0c\u5373\u9664\u8fde\u63a5\u8f74\u5916\u7684\u5176\u4ed6\u8f74\u7684\u957f\u5ea6\u5fc5\u987b\u76f8\u540c\u3002\u8c03\u7528concatenate()<\/code>\u65f6\uff0c\u9700\u4f20\u5165\u4e00\u4e2a\u5305\u542b\u6240\u6709\u5f85\u62fc\u63a5\u6570\u7ec4\u7684\u5143\u7ec4\u6216\u5217\u8868\uff0c\u4ee5\u53ca\u6307\u5b9a\u7684\u8f74\u53c2\u6570\u3002\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0caxis=0<\/code>\u8868\u793a\u6cbf\u7740\u7b2c\u4e00\u4e2a\u8f74\uff08\u884c\uff09\u62fc\u63a5\u3002<\/p>\n<\/p>\n

\n

\u4e00\u3001\u4f7f\u7528+<\/code>\u64cd\u4f5c\u7b26<\/p>\n<\/p>\n

+<\/code>\u64cd\u4f5c\u7b26\u662fPython\u4e2d\u6700\u7b80\u5355\u76f4\u63a5\u7684\u62fc\u63a5\u65b9\u6cd5\uff0c\u9002\u7528\u4e8e\u62fc\u63a5\u4e24\u4e2a\u6216\u591a\u4e2a\u5217\u8868\u3002\u5b83\u4f1a\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u5217\u8868\uff0c\u800c\u4e0d\u6539\u53d8\u539f\u6709\u7684\u5217\u8868\u3002<\/p>\n<\/p>\n

list1 = [1, 2, 3]<\/p>\n
list2 = [4, 5, 6]<\/p>\n
result = list1 + list2<\/p>\n
print(result)  # \u8f93\u51fa: [1, 2, 3, 4, 5, 6]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4f7f\u7528+<\/code>\u64cd\u4f5c\u7b26\u65f6\uff0c\u9700\u8981\u6ce8\u610f\u5217\u8868\u4e2d\u7684\u5143\u7d20\u7c7b\u578b\u4fdd\u6301\u4e00\u81f4\uff0c\u4ee5\u514d\u5728\u540e\u7eed\u64cd\u4f5c\u4e2d\u9047\u5230\u7c7b\u578b\u4e0d\u5339\u914d\u7684\u95ee\u9898\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528append()<\/code>\u65b9\u6cd5<\/p>\n<\/p>\n
append()<\/code>\u65b9\u6cd5\u7528\u4e8e\u5728\u5217\u8868\u672b\u5c3e\u6dfb\u52a0\u5355\u4e2a\u5143\u7d20\u6216\u53e6\u4e00\u4e2a\u5217\u8868\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cappend()<\/code>\u4f1a\u5c06\u6574\u4e2a\u5217\u8868\u4f5c\u4e3a\u4e00\u4e2a\u5143\u7d20\u6dfb\u52a0\u3002<\/p>\n<\/p>\n
list1 = [1, 2, 3]<\/p>\n
list1.append([4, 5, 6])<\/p>\n
print(list1)  # \u8f93\u51fa: [1, 2, 3, [4, 5, 6]]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u82e5\u5e0c\u671b\u5728\u5217\u8868\u672b\u5c3e\u6dfb\u52a0\u591a\u4e2a\u5143\u7d20\u800c\u4e0d\u662f\u4e00\u4e2a\u5217\u8868\uff0c\u53ef\u4ee5\u4f7f\u7528extend()<\/code>\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528extend()<\/code>\u65b9\u6cd5<\/p>\n<\/p>\n
extend()<\/code>\u65b9\u6cd5\u7528\u4e8e\u5c06\u53e6\u4e00\u4e2a\u5217\u8868\u4e2d\u7684\u5143\u7d20\u9010\u4e00\u6dfb\u52a0\u5230\u76ee\u6807\u5217\u8868\u7684\u672b\u5c3e\u3002\u8fd9\u662f\u5bf9append()<\/code>\u65b9\u6cd5\u7684\u8865\u5145\uff0c\u9002\u7528\u4e8e\u9700\u8981\u5408\u5e76\u4e24\u4e2a\u5217\u8868\u7684\u573a\u5408\u3002<\/p>\n<\/p>\n
list1 = [1, 2, 3]<\/p>\n
list2 = [4, 5, 6]<\/p>\n
list1.extend(list2)<\/p>\n
print(list1)  # \u8f93\u51fa: [1, 2, 3, 4, 5, 6]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528numpy.concatenate()<\/code><\/p>\n<\/p>\n
\u5bf9\u4e8e\u591a\u7ef4\u6570\u7ec4\u7684\u62fc\u63a5\uff0cnumpy<\/code>\u5e93\u63d0\u4f9b\u4e86concatenate()<\/code>\u51fd\u6570\u3002\u5b83\u80fd\u591f\u6cbf\u7740\u6307\u5b9a\u7684\u8f74\u5c06\u591a\u4e2a\u6570\u7ec4\u8fde\u63a5\u5728\u4e00\u8d77\uff0c\u9002\u7528\u4e8e\u9700\u8981\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u573a\u5408\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
array1 = np.array([[1, 2], [3, 4]])<\/p>\n
array2 = np.array([[5, 6], [7, 8]])<\/p>\n
result = np.concatenate((array1, array2), axis=0)<\/p>\n
print(result)<\/p>\n
\u8f93\u51fa:<\/strong><\/h2>\n
[[1 2]<\/strong><\/h2>\n
 [3 4]<\/strong><\/h2>\n
 [5 6]<\/strong><\/h2>\n
 [7 8]]<\/strong><\/h2>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4f7f\u7528numpy.concatenate()<\/code>\u65f6\uff0c\u786e\u4fdd\u6240\u6709\u6570\u7ec4\u5728\u975e\u62fc\u63a5\u8f74\u4e0a\u7684\u5f62\u72b6\u76f8\u540c\u3002\u6b64\u5916\uff0caxis<\/code>\u53c2\u6570\u51b3\u5b9a\u4e86\u62fc\u63a5\u7684\u65b9\u5411\uff1aaxis=0<\/code>\u8868\u793a\u6cbf\u884c\u62fc\u63a5\uff0caxis=1<\/code>\u8868\u793a\u6cbf\u5217\u62fc\u63a5\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528numpy.vstack()<\/code>\u548cnumpy.hstack()<\/code><\/p>\n<\/p>\n
\u9664\u4e86concatenate()<\/code>\u51fd\u6570\uff0cnumpy<\/code>\u8fd8\u63d0\u4f9b\u4e86vstack()<\/code>\u548chstack()<\/code>\u51fd\u6570\uff0c\u5206\u522b\u7528\u4e8e\u5782\u76f4\u548c\u6c34\u5e73\u62fc\u63a5\u6570\u7ec4\u3002<\/p>\n<\/p>\n
    \n
  1. vstack()<\/code><\/strong>\uff1a\u7528\u4e8e\u5782\u76f4\u62fc\u63a5\uff0c\u7c7b\u4f3c\u4e8e\u6cbfaxis=0<\/code>\u7684\u62fc\u63a5\u3002<\/li>\n<\/ol>\n
    result = np.vstack((array1, array2))<\/p>\n
    print(result)<\/p>\n
    \u8f93\u51fa:<\/strong><\/h2>\n
    [[1 2]<\/strong><\/h2>\n
     [3 4]<\/strong><\/h2>\n
     [5 6]<\/strong><\/h2>\n
     [7 8]]<\/strong><\/h2>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. hstack()<\/code><\/strong>\uff1a\u7528\u4e8e\u6c34\u5e73\u62fc\u63a5\uff0c\u7c7b\u4f3c\u4e8e\u6cbfaxis=1<\/code>\u7684\u62fc\u63a5\u3002<\/li>\n<\/ol>\n
      result = np.hstack((array1, array2))<\/p>\n
      print(result)<\/p>\n
      \u8f93\u51fa:<\/strong><\/h2>\n
      [[1 2 5 6]<\/strong><\/h2>\n
       [3 4 7 8]]<\/strong><\/h2>\n
      <\/code><\/pre>\n<\/p>\n
      \u516d\u3001\u4f7f\u7528numpy.stack()<\/code><\/p>\n<\/p>\n
      \u5982\u679c\u9700\u8981\u5728\u65b0\u7684\u8f74\u4e0a\u5806\u53e0\u6570\u7ec4\uff0c\u53ef\u4ee5\u4f7f\u7528numpy.stack()<\/code>\u3002\u8fd9\u5bf9\u4e8e\u9700\u8981\u589e\u52a0\u4e00\u4e2a\u7ef4\u5ea6\u7684\u573a\u5408\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
      result = np.stack((array1, array2), axis=0)<\/p>\n
      print(result)<\/p>\n
      \u8f93\u51fa:<\/strong><\/h2>\n
      [[[1 2]<\/strong><\/h2>\n
        [3 4]]<\/strong><\/h2>\n
      #<\/p>\n
       [[5 6]<\/strong><\/h2>\n
        [7 8]]]<\/strong><\/h2>\n
      <\/code><\/pre>\n<\/p>\n
      stack()<\/code>\u51fd\u6570\u4f1a\u589e\u52a0\u4e00\u4e2a\u65b0\u7684\u8f74\uff0c\u7ed3\u679c\u6570\u7ec4\u7684\u7ef4\u5ea6\u6bd4\u8f93\u5165\u6570\u7ec4\u591a\u4e00\u3002<\/p>\n<\/p>\n
      \u4e03\u3001\u5e94\u7528\u5b9e\u4f8b<\/p>\n<\/p>\n
      \u5728\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60<\/a>\u4e2d\uff0c\u6570\u7ec4\u62fc\u63a5\u64cd\u4f5c\u975e\u5e38\u5e38\u89c1\u3002\u4f8b\u5982\uff0c\u5728\u5904\u7406\u56fe\u50cf\u6570\u636e\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u5c06\u591a\u4e2a\u56fe\u50cf\u6570\u636e\u62fc\u63a5\u6210\u4e00\u4e2a\u6279\u6b21\uff0c\u4ee5\u4fbf\u6279\u91cf\u5904\u7406\u3002\u5728\u8fd9\u4e9b\u573a\u5408\uff0cnumpy<\/code>\u5e93\u63d0\u4f9b\u7684\u6570\u7ec4\u62fc\u63a5\u51fd\u6570\u80fd\u591f\u663e\u8457\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u6267\u884c\u6548\u7387\u3002<\/p>\n<\/p>\n
      import numpy as np<\/p>\n
      \u5047\u8bbe\u67093\u4e2a28x28\u7684\u7070\u5ea6\u56fe\u50cf\u6570\u636e<\/strong><\/h2>\n
      image1 = np.random.rand(28, 28)<\/p>\n
      image2 = np.random.rand(28, 28)<\/p>\n
      image3 = np.random.rand(28, 28)<\/p>\n
      \u5c06\u56fe\u50cf\u6570\u636e\u5806\u53e0\u6210\u4e00\u4e2a\u6279\u6b21<\/strong><\/h2>\n
      batch_images = np.stack((image1, image2, image3), axis=0)<\/p>\n
      print(batch_images.shape)  # \u8f93\u51fa: (3, 28, 28)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u901a\u8fc7\u4e0a\u8ff0\u793a\u4f8b\u53ef\u4ee5\u770b\u51fa\uff0cnumpy.stack()<\/code>\u51fd\u6570\u80fd\u591f\u5728\u4e0d\u6539\u53d8\u539f\u59cb\u6570\u636e\u7684\u60c5\u51b5\u4e0b\uff0c\u5c06\u591a\u4e2a\u6570\u7ec4\u6cbf\u65b0\u7684\u8f74\u5806\u53e0\u5728\u4e00\u8d77\uff0c\u975e\u5e38\u9002\u5408\u5904\u7406\u6279\u91cf\u6570\u636e\u3002<\/p>\n<\/p>\n
      \u516b\u3001\u603b\u7ed3<\/p>\n<\/p>\n
      \u5728Python\u4e2d\u62fc\u63a5\u6570\u7ec4\u7684\u65b9\u6cd5\u5f88\u591a\uff0c\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u7279\u5b9a\u7684\u5e94\u7528\u573a\u666f\u548c\u4f18\u7f3a\u70b9<\/strong>\u3002\u5bf9\u4e8e\u7b80\u5355\u7684\u5217\u8868\u62fc\u63a5\uff0c+<\/code>\u3001append()<\/code>\u548cextend()<\/code>\u65b9\u6cd5\u5df2\u7ecf\u8db3\u591f\uff1b\u800c\u5bf9\u4e8e\u590d\u6742\u7684\u591a\u7ef4\u6570\u7ec4\u62fc\u63a5\uff0cnumpy<\/code>\u5e93\u63d0\u4f9b\u7684concatenate()<\/code>\u3001vstack()<\/code>\u3001hstack()<\/code>\u548cstack()<\/code>\u7b49\u51fd\u6570\u5219\u63d0\u4f9b\u4e86\u66f4\u5927\u7684\u7075\u6d3b\u6027\u548c\u529f\u80fd\u3002\u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u62fc\u63a5\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6709\u6548\u63d0\u9ad8\u4ee3\u7801\u7684\u6548\u7387\u548c\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
      \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
       \u5982\u4f55\u5728Python\u4e2d\u9ad8\u6548\u5730\u62fc\u63a5\u591a\u4e2a\u6570\u7ec4\uff1f<\/strong>
      \u5728Python\u4e2d\uff0c\u62fc\u63a5\u6570\u7ec4\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u6bd4\u5982\u4f7f\u7528numpy<\/code>\u5e93\u4e2d\u7684concatenate<\/code>\u51fd\u6570\u3001hstack<\/code>\u51fd\u6570\u4ee5\u53caPython\u5185\u7f6e\u7684+<\/code>\u64cd\u4f5c\u7b26\u3002\u5bf9\u4e8e\u5927\u89c4\u6a21\u6570\u636e\uff0c\u4f7f\u7528numpy<\/code>\u7684\u65b9\u5f0f\u901a\u5e38\u66f4\u4e3a\u9ad8\u6548\uff0c\u56e0\u4e3a\u5b83\u80fd\u591f\u76f4\u63a5\u5728\u5185\u5b58\u4e2d\u8fdb\u884c\u64cd\u4f5c\uff0c\u907f\u514d\u4e86\u591a\u6b21\u5185\u5b58\u5206\u914d\u5e26\u6765\u7684\u6027\u80fd\u635f\u5931\u3002<\/p>\n
      \u5728Python\u4e2d\u62fc\u63a5\u6570\u7ec4\u65f6\uff0c\u662f\u5426\u4f1a\u5f71\u54cd\u539f\u6570\u7ec4\uff1f<\/strong>
      \u4f7f\u7528numpy<\/code>\u7684\u62fc\u63a5\u51fd\u6570\u5982concatenate<\/code>\u4f1a\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u6570\u7ec4\uff0c\u800c\u4e0d\u4f1a\u4fee\u6539\u539f\u6570\u7ec4\u3002\u5982\u679c\u5e0c\u671b\u4fdd\u7559\u539f\u6570\u7ec4\uff0c\u53ef\u4ee5\u76f4\u63a5\u5c06\u8fd4\u56de\u7684\u65b0\u6570\u7ec4\u8d4b\u503c\u7ed9\u4e00\u4e2a\u65b0\u53d8\u91cf\u3002\u5982\u679c\u4f7f\u7528\u5217\u8868\u7684+<\/code>\u64cd\u4f5c\u7b26\uff0c\u7ed3\u679c\u540c\u6837\u662f\u751f\u6210\u4e00\u4e2a\u65b0\u5217\u8868\uff0c\u800c\u539f\u5217\u8868\u4fdd\u6301\u4e0d\u53d8\u3002<\/p>\n
      \u62fc\u63a5\u6570\u7ec4\u65f6\uff0c\u5982\u4f55\u5904\u7406\u4e0d\u540c\u7ef4\u5ea6\u7684\u60c5\u51b5\uff1f<\/strong>
      \u5728\u62fc\u63a5\u6570\u7ec4\u65f6\uff0c\u9700\u8981\u786e\u4fdd\u6570\u7ec4\u7684\u7ef4\u5ea6\u5339\u914d\u3002\u4f8b\u5982\uff0c\u4f7f\u7528numpy.concatenate<\/code>\u65f6\uff0c\u6240\u6709\u6570\u7ec4\u5fc5\u987b\u5728\u62fc\u63a5\u8f74\u7684\u5176\u4ed6\u7ef4\u5ea6\u4e0a\u5177\u6709\u76f8\u540c\u7684\u5f62\u72b6\u3002\u5982\u679c\u7ef4\u5ea6\u4e0d\u5339\u914d\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528numpy.reshape<\/code>\u8c03\u6574\u6570\u7ec4\u7684\u5f62\u72b6\uff0c\u6216\u8005\u4f7f\u7528numpy.vstack<\/code>\u548cnumpy.hstack<\/code>\u8fdb\u884c\u5782\u76f4\u548c\u6c34\u5e73\u62fc\u63a5\uff0c\u8fd9\u4e9b\u51fd\u6570\u4f1a\u81ea\u52a8\u5904\u7406\u7ef4\u5ea6\u95ee\u9898\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u62fc\u63a5\u6570\u7ec4\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u4f60\u6240\u4f7f\u7528\u7684\u6570\u636e\u7ed3\u6784\u548c\u62fc\u63a5\u9700\u6c42\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528+\u64cd\u4f5c\u7b26\u3001 […]","protected":false},"author":3,"featured_media":950231,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/950230"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=950230"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/950230\/revisions"}],"predecessor-version":[{"id":950232,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/950230\/revisions\/950232"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/950231"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=950230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=950230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=950230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}